Quantitative trait loci (QTL) hotspots (genomic locations enriched in QTL) are a common and notable feature when collecting many QTL for various traits in many areas of biological studies. The QTL hotspots are important and attractive since they are highly informative and may harbor genes for the quantitative traits. So far, the current statistical methods for QTL hotspot detection use either the individual-level data from the genetical genomics experiments or the summarized data from public QTL databases to proceed with the detection analysis. These methods may suffer from the problems of ignoring the correlation structure among traits, neglecting the magnitude of LOD scores for the QTL, or paying a very high computational cost, which often lead to the detection of excessive spurious hotspots, failure to discover biologically interesting hotspots composed of a small-to-moderate number of QTL with strong LOD scores, and computational intractability, respectively, during the detection process. In this article,ts with varying sizes and LOD-score distributions. Real examples, numerical analysis, and simulation study are performed to validate our statistical framework, investigate the detection properties, and also compare with the current methods in QTL hotspot detection. The results demonstrate that the proposed statistical framework can effectively accommodate the correlation structure among traits, identify the types of hotspots, and still keep the notable features of easy implementation and fast computation for practical QTL hotspot detection.Reproductive isolation is a prerequisite to form and maintain a new species. Multiple prezygotic and postzygotic reproductive isolation barriers have been reported in plants. In the model plant, Arabidopsis thaliana conspecific pollen tube precedence controlled by AtLURE1/PRK6-mediated signaling has been recently reported as a major prezygotic reproductive isolation barrier. By accelerating emergence of own pollen tubes from the transmitting tract, A. thaliana ovules promote self-fertilization and thus prevent fertilization by a different species. Taking advantage of a septuple atlure1null mutant, we now report on the role of AtLURE1/PRK6-mediated signaling for micropylar pollen tube guidance. Compared with wild-type (WT) ovules, atlure1null ovules displayed remarkably reduced micropylar pollen tube attraction efficiencies in modified semi-in vivo A. thaliana ovule targeting assays. However, when prk6 mutant pollen tubes were applied, atlure1null ovules showed micropylar attraction efficiencies comparable to that of WT ovules. These findings indicate that AtLURE1/PRK6-mediated signaling regulates micropylar pollen tube attraction in addition to promoting emergence of own pollen tubes from the transmitting tract. Moreover, semi-in vivo ovule targeting competition assays with the same amount of pollen grains from both A. thaliana and Arabidopsis lyrata showed that A. thaliana WT and xiuqiu mutant ovules are mainly targeted by own pollen tubes and that atlure1null mutant ovules are also entered to a large extent by A. https://www.selleckchem.com/products/b102-parp-hdac-in-1.html lyrata pollen tubes. Taken together, we report that AtLURE1/PRK6-mediated signaling promotes conspecific micropylar pollen tube attraction representing an additional prezygotic isolation barrier.Detecting natural selection signals in admixed populations can be problematic since the source of the signal typically dates back prior to the admixture event. On one hand, it is now possible to study various source populations before a particular admixture thanks to the developments in ancient DNA (aDNA) in the last decade. However, aDNA availability is limited to certain geographical regions and the sample sizes and quality of the data might not be sufficient for selection analysis in many cases. In this study, we explore possible ways to improve detection of pre-admixture signals in admixed populations using a local ancestry inference approach. We used masked haplotypes for population branch statistic (PBS) and full haplotypes constructed following our approach from Yelmen et al. (2019) for cross-population extended haplotype homozygosity (XP-EHH), utilizing forward simulations to test the power of our analysis. The PBS results on simulated data showed that using masked haplotypes obtained from ancestry deconvolution instead of the admixed population might improve detection quality. On the other hand, XP-EHH results using the admixed population were better compared with the local ancestry method. We additionally report correlation for XP-EHH scores between source and admixed populations, suggesting that haplotype-based approaches must be used cautiously for recently admixed populations. Additionally, we performed PBS on real South Asian populations masked with local ancestry deconvolution and report here the first possible selection signals on the autochthonous South Asian component of contemporary South Asian populations.Diverse arrays of naturally occurring compounds in plants are synthesized by specialized metabolic enzymes, many of which are distributed taxonomically. Although anthocyanin pigments are widely distributed and ubiquitous, betalains have replaced anthocyanins in most families in Caryophyllales. Anthocyanins and betalains never occur together in the same plant. The formation of betalamic acid, catalyzed by 3,4-dihydroxyphenylalanine (DOPA) 4,5-extradiol dioxygenase (DOD), is a key step in betalain biosynthesis. DODs in betalain-producing plants are coded by LigB genes, homologs of which have been identified in a wide range of higher plant orders, as well as in certain fungi and bacteria. Two classes of LigB homologs have been reported those found in anthocyanin-producing species and those found in betalain-producing species, which contain DOD. To gain insight into the evolution of specialized metabolic enzymes involved in betalain biosynthesis, we performed a comparative biochemical analysis of Arabidopsis LigB, an extradiol ring-cleavage dioxygenase in anthocyanin-producing Arabidopsis and Phytolacca DOD1 of betalain-producing Phytolacca americana. We show that Arabidopsis LigB catalyzes 2,3-extradiol cleavage of DOPA to synthesize muscaflavin, whereas Phytolacca DOD1 converts DOPA to betalamic acid via 4,5-extradiol cleavage. Arabidopsis LigB also converts caffeic acid, a ubiquitous phenolic compound in higher plants, to iso-arabidopic acid in vitro via 2,3-extradiol cleavage of the aromatic ring. Amino-acid substitution in Arabidopsis LigB and Phytolacca DOD1 led to variable extradiol ring-cleavage function, supporting the suggestion that catalytic promiscuity serves as a starting point for the divergence of new enzymatic activities.